Department of Medical Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran.
Crit Rev Oncol Hematol. 2021 Jan;157:103161. doi: 10.1016/j.critrevonc.2020.103161. Epub 2020 Nov 11.
Cancer immunotherapy has appeared as a well-known therapeutic modality for different cancers. Yet, only a subset of patients derive clinical benefit. It is thus critical to understand the determinants driving response, resistance and adverse effects.Predictive biomarkers in different modalities of cancer immunotherapy offer novel information about the effect of a therapeutic intervention. These biomarkers and their patterns may not only operate similarly across different tumor types that are amenable to these therapies but also assist to identify patients who will benefit from the treatment and subsequently leading to tailored immunotherapy with the wider-successfully-targeted patient population. In this review, we will outline a variety of predictive biomarkers in various cancer immunotherapies and their clinical utility. It is anticipated that the incorporation of biomarker studies in the clinical practice will help optimize therapeutic decision making and realize the potential clinical benefit of biomarker-guided therapy.
癌症免疫疗法已成为治疗多种癌症的知名疗法。然而,只有一部分患者从中获得临床获益。因此,了解驱动反应、耐药性和不良反应的决定因素至关重要。癌症免疫疗法的不同模式中的预测性生物标志物提供了关于治疗干预效果的新信息。这些生物标志物及其模式不仅可能在不同类型的、适合这些疗法的肿瘤中具有相似的作用,而且还可以帮助识别将从治疗中受益的患者,并最终导致针对更广泛的成功靶向患者群体的个体化免疫治疗。在这篇综述中,我们将概述各种癌症免疫疗法中的多种预测性生物标志物及其临床应用。预计将生物标志物研究纳入临床实践将有助于优化治疗决策并实现基于生物标志物的治疗的潜在临床获益。